Patients share their real experiences on Google Reviews, Trustpilot, Reddit health communities, and social media - not just on your CAHPS survey. Noisely captures this unfiltered patient feedback and uses AI to help you improve care quality and reputation.
Starting at $49/month
The Challenge
CAHPS scores and post-visit surveys capture structured feedback, but patients share their most honest experiences on Google Reviews, Reddit, and social media. These unfiltered opinions influence other patients and your public reputation.
Most patients check Google Reviews before choosing a provider. A pattern of reviews mentioning long wait times, rude staff, or billing issues directly reduces new patient volume - and you may not know it is happening.
A patient posts a detailed Google Review about a misdiagnosis or medication error. Another shares a similar experience on Reddit. By the time your internal QA process flags the pattern, it is already public.
Each clinic, hospital, or practice location has its own Google listing, its own review profile, and its own reputation. Monitoring and responding to reviews across 10+ locations manually is a full-time job.
How It Works
Noisely monitors patient feedback across public platforms and uses AI to identify care quality patterns, reputation risks, and operational improvement opportunities.
Add your practice names, location names, and provider names. Noisely monitors Google Reviews, Trustpilot, Reddit health communities, and social platforms for patient feedback.
Every review and mention is analyzed for care quality signals: wait times, staff interactions, billing issues, facility cleanliness, and clinical outcomes. Feedback is grouped by location and theme.
Send care quality concerns to clinical leadership, billing complaints to revenue cycle, and facility issues to operations. Weekly reports show patient satisfaction trends per location.
Features
Monitor Google Reviews across all your locations from one dashboard. Compare patient satisfaction scores and review themes between facilities.
AI identifies reviews mentioning clinical concerns, safety issues, and care quality problems. Flag patterns that may indicate systemic issues across providers or locations.
Track how often patients mention wait times, scheduling difficulties, and access issues. See which locations or departments generate the most access complaints.
AI detects when reviews mention specific providers or staff by name. Track which team members receive praise and which generate complaints.
Monitor reviews mentioning surprise bills, insurance confusion, and billing errors. Identify billing process issues that damage patient trust and satisfaction.
Track how patient sentiment changes over time per location. Measure the impact of operational changes, new providers, or facility improvements on public perception.
Use Cases
Supplement survey data with unfiltered patient feedback from Google Reviews and social media. Understand the full patient experience, not just survey respondents.
Monitor reputation across all locations. Identify which facilities need attention and track the impact of improvement initiatives on public perception.
Detect care quality patterns in public feedback that may not surface in internal reporting. Use patient voices to prioritize quality improvement projects.
Protect and grow your healthcare brand. Respond to negative reviews promptly and highlight positive patient stories in your marketing.
Integrations
Noisely aggregates feedback from review platforms, community forums, app stores, and support tools into one unified dashboard.
Unified Feed
All sources in one view
New mention on r/SaaS
2m ago
New 4-star review
15m ago
Feature request ticket
1h ago
FAQ
Noisely only monitors publicly available information - reviews, social media posts, and forum discussions that patients have chosen to share publicly. We do not access, store, or process protected health information (PHI).
Yes. You can add all your locations and monitor their Google Reviews from a single dashboard. Review themes and sentiment are tracked per location so you can compare performance across facilities.
Our AI detects when reviews mention providers by name and categorizes the sentiment. This helps you identify which providers receive praise and which may need support, without requiring manual review reading.
Noisely complements surveys rather than replacing them. Surveys give you structured, representative data. Noisely adds the unfiltered, spontaneous feedback patients share publicly - a different but equally valuable perspective.
Noisely alerts you to negative review patterns early, tracks sentiment trends per location, and helps you identify the operational issues driving bad reviews. Fixing root causes is the most effective reputation management strategy.
Join product teams who use Noisely to understand customers and build better products.
Get StartedStarting at $49/month